Alternative splicing (AS) is a highly regulated process that contributes to proteome complexity. With recent advances in sequencing and other high-throughput technologies, our knowledge of the many AS events in C. elegans has rapidly increased. However, for many of these events, it is still not known which splicing factors are involved, and how they function to regulate each splicing decision. We have generated RNA-Seq, RNA binding, and genetic interaction data for several splicing factors to model how these factors regulate different AS events- whether individually, or combinatorially with other splicing factors.
We have identified AS events that are perturbed in several splicing factor-defective backgrounds- including loss-of-function of
asd-1,
fox-1,
mec-8,
sym-2 and
exc-7. Combining this data with RNA-binding specificities for these splicing factors, we have identified genes that are likely direct targets of these splicing factors, and are in the process of validating these splicing targets in vivo. In addition, we systematically probed for other factors that genetically interact with these splicing factors by screening an RNAi library targeting ~400 genes containing known or predicted RNA-binding domains. Scoring for enhanced population fitness defects, we have identified interactions with components of the spliceosome, regulatory splicing factors, as well as other factors involved in mRNA-processing. We are using this data as an added resource to predict factors that may function in the same splicing regulatory pathways, to identify instances of combinatorial splicing regulation.